Article

[Prognostic value of preoperative serum high sensitivity C-reactive protein in patients with endometrial cancer].

Department of Gynecological Oncology, Sun Yat-Sen University, Guangzhou, China.
Zhonghua yi xue za zhi 11/2011; 91(41):2927-30. pp.2927-30
Source: PubMed

ABSTRACT To evaluate whether high sensitivity C-reactive protein (hs-CRP) is a predictive factor in the patients with endometrial cancer.
The investigators retrospectively analyzed the clinical records of 110 patient with endometrial carcinoma treated at our institution for their initial serum hs-CRP level at pre-operation. Pearson's chi-square was used to evaluate the association of the level of hs-CRP with variables associated with a poor prognosis. COX proportional hazard model was employed to perform univariate and multivariate analyses.
The median serum level of hs-CRP in the patients with endometrial cancer was 5.58 mg/L (range: 0.02 - 140.54 mg/L). The serum level of hs-CRP was significantly associated with advanced tumor stage (P < 0.01), lymph node involvement (P < 0.05) and patient age (P < 0.05). Tumor stage, lymph node involvement, histological grade, post-operative adjuvant therapy and the serum level of hs-CRP were correlated with the overall and disease-free survivals. Tumor stage and the serum level of hs-CRP were independent factors. The rank correlation analysis showed that there was a positive correlation between the serum levels of hs-CRP and CA125 (P < 0.01).
The serum level of hs-CRP may serve as a prognostic parameter in patients with endometrial cancer. Further studies are warranted to validate its value.

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Keywords

COX proportional hazard model
 
disease-free survivals
 
endometrial cancer
 
endometrial carcinoma
 
histological grade
 
initial serum hs-CRP level
 
investigators retrospectively analyzed
 
lymph node involvement
 
median serum level
 
multivariate analyses
 
patient age
 
Pearson's chi-square
 
poor prognosis
 
positive correlation
 
prognostic parameter
 
rank correlation analysis
 
sensitivity C-reactive protein
 
serum level
 
serum levels
 
Tumor stage
 

Li-Juan Wang